Mr Fariborz Baghaei Naeini

Research project: Dynamic tactile sensor using Deep Learning

Abstract

Tactile sensors aim to mimic human's sense of touch for robots. Advancements in camera technology and GPUs provide an opportunity to perform deep learning models in real-time for measurements applications. In this work, world's first event-based tactile sensor is proposed to estimate the contact force during a grasp. An event-based camera (Dynamic vision sensor) and recurrent deep learning methods (LSTM/CNNLSTM/ConvLSTM) are combined to achieve a solution with low-latency and high accuracy. My research raised +600,000$ funding and awards over past years in multiple countries.

Biography

Dedicated and highly self-motivated Ph.D. candidate in Artificial Intelligence with hands-on experience in Deep Learning, Computer Vision, and Robotics. I have been working in industry for years as Artificial Intelligence Engineer to provide machine learning solutions for different problems including surveillance, object detection and product recognition in retails etc.

Areas of research interest

  • Deep Learning
  • Event-Based Vision
  • Recurrent Neural Networks
  • Computer vision
  • Robotics

Qualifications

  • MSc. in Embedded Systems with Management Studies, Kingston University London
  • BSc. in Computer Hardware Engineering, Azad University of Tehran Central Branch

Funding or awards received

  • Best Achievement Award for Q1 Publications
  • First place in Project Hack 3.0 Hackathon London
  • Research Collaborator in Smart Energy using Game-theory
  • Top 3 presentations in SEC Conference 2019

Publications

  • Rigi, Amin, Naeini, Fariborz Baghaei, Makris, Dimitrios and Zweiri, Yahya (2018) A novel event-based incipient slip detection using Dynamic Active-Pixel Vision Sensor (DAVIS). Sensors, 18(2), p. 333. ISSN (online) 1424-8220 
  • F. B. Naeini, A. Alali, R. Al-Husari, A. Rigi, M. K. AlSharman, D. Makris, and Y. Zweiri, "A Novel Dynamic-Vision-Based Approach for Tactile Sensing Applications," IEEE Transactions on Instrumentation and Measurement, 2019.
  •  M. Pilz, F. B. Naeini, K. Grammont, C. Smagghe, M. Davis, J.-C. Nebel, L. Al-Fagih, and E. Pfluegel, ‘‘Security attacks on smart grid scheduling and their defences: A game-theoretic approach,'' Int. J. Inf. Secur., vol. 1, pp. 1–17, Aug. 2018